Epicor Advanced Manufacturing Execution System is designed for plastic molders, manufacturers who use repetitive processes and those who have an assembly process that involves multiple machines. It is designed to assist floor operators in monitoring and optimizing their plant operations.
Advanced MES helps manufacturers monitor their business and control it with real-time information on plant and machinery. The system allows users to identify inefficient allocations of resources to find new capacity for the business. It can also be used to record machine downtime, scrap and material waste in each production cycle.
The software provides real-time monitoring of processes, scheduling in real time and visibility into operations. Users can view production details and descriptors and monitor up to 100,000 cycles. Maintenance teams can access machine condition reports for planning preventive maintenance. Advanced MES integrates accounting and manufacturing estimating capability.
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Sutton is a manufacturing and distribution ERP platform that combines core operations management with AI-driven automation and customizable applications. The software centralizes inventory, warehousing, sales, purchasing, production, fulfillment, traceability, and compliance in one system. Inventory capabilities include real-time stock visibility, multi-location management, demand forecasting, shipping workflows, and monitoring of materials that may run out. Production features support shop-floor control, production scheduling, work centers, materials, jobs, and operational tracking. Sutton’s intelligence layer analyzes operational data to surface business health, identify exceptions, recommend next steps, and help users act on those recommendations. AI agents can prepare purchase orders, respond to changing production requirements, generate shipping documents, and handle other repetitive operational tasks across modules. Sutton Studio allows users to create custom apps, reports, forms, and workflows by describing what they need in plain English, with the resulting tools operating directly on existing Sutton data and permissions. The platform also includes an AI-assisted onboarding process that can reformat data, map fields, make bulk edits, and configure the system for migration. Sutton integrates with ecommerce, accounting, and sales channels such as QuickBooks, Shopify, WooCommerce, Amazon, and eBay and provides flexible API access for connecting additional systems.
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Openwind
Openwind, created by UL Solutions, is an innovative software designed for wind farm design and optimization that plays a crucial role in every stage of a wind project's development, helping to devise ideal turbine arrangements that enhance energy output while reducing losses and managing development costs effectively for overall project efficiency. This software empowers users to strategically optimize turbine placements and layouts to drive down energy costs by taking into account various elements such as energy generation, operational and maintenance expenses, and the financial implications of turbine and plant development. Openwind features state-of-the-art wake models, such as the Deep Array Wake Model (DAWM), which effectively analyzes the dynamic interplay between turbines and the atmospheric boundary layer, enabling adjustments to wakes based on varying turbulence intensity and stability conditions. Additionally, the platform provides time-series energy capture analysis that offers granular insights into energy production patterns over time, ensuring comprehensive project evaluation and planning. By leveraging these advanced capabilities, Openwind supports users in making informed decisions that ultimately lead to more efficient and sustainable wind energy projects.
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WindESCo
WindESCo delivers innovative solutions aimed at improving the efficiency and dependability of wind turbines through two core products: Pulse and Swarm. Pulse harnesses artificial intelligence and machine learning to provide in-depth performance analytics and monitor the health of assets over twelve turbine subsystems. By consolidating various data streams—such as SCADA, events, maintenance history, vibration analysis, and meteorological information—into a cohesive data fabric, it empowers users to pinpoint actionable insights that influence turbine efficiency. Additionally, Pulse includes case management capabilities that facilitate operational and maintenance workflows, track the progress of resolutions, and keep all essential information centralized. On the other hand, Swarm employs a collective autonomous control system, allowing turbines to communicate and learn from one another, which significantly enhances the output of wind farms. Together, these technologies represent a significant advancement in the management and optimization of wind energy resources.
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